Character.AI Enhances Logging System to Boost Performance
Tony Kim Aug 28, 2025 02:55
Character.AI revamps its logging system to handle massive data efficiently, ensuring improved performance and reliability across its infrastructure.
Character.AI has undertaken significant improvements to its logging system to manage the increasing data demands resulting from its expansive infrastructure, according to the Character.AI Blog. The company, which operates thousands of GPUs and supports millions of users monthly, generates a vast amount of log data crucial for monitoring service performance and reliability.
From Fragmentation to Centralization
Initially, Character.AI's logging was fragmented across multiple providers, complicating debugging processes, slowing queries, and causing unpredictable costs. To address these challenges, the company centralized its logs, focusing on capturing error and warning logs in full while sampling high-volume information logs. This strategy maintains a manageable log volume without losing critical troubleshooting data, offering a single source of truth for developers and engineers.
Key Features and Lessons Learned
The revamped system significantly enhances query speeds, enabling real-time issue identification and resolution. New features include live tailing for real-time visibility, denoise for collapsing common log lines and highlighting outliers, and freeform keyword search for instant error investigation. These improvements provide a lean, powerful observability stack, facilitating efficient infrastructure management and service reliability.
Unifying Observability
Character.AI's ultimate goal is to unify all logs, metrics, and traces into a single platform. This integration aims to deliver a comprehensive view for correlation and alerting, enhancing root cause analysis and issue resolution speed. The company continues to innovate towards full observability, focusing on building a more integrated system to support future growth.
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